primirTSS
primirTSS identifies miRNA transcription start sites (TSSs) from high-throughput sequencing data by integrating promoter-associated ChIP-seq signals (H3K4me3 and Pol II) with conservation scores and sequence-derived features to improve precision in miRNA TSS mapping.
Key Features:
- Integration of multi-omics data: Integrates promoter-associated ChIP-seq signals H3K4me3 and RNA polymerase II (Pol II) to enable cell-type/context-aware identification of miRNA TSSs.
- Conservation and sequence feature analysis: Incorporates conservation scores and sequence-derived features to support prediction of evolutionarily conserved transcription initiation sites.
- Flexible data input options: Operates with either H3K4me3 or Pol II ChIP-seq data alone or with both assays when available.
Scientific Applications:
- Gene regulation studies: Maps miRNA promoter usage and upstream regulatory mechanisms governing miRNA expression.
- Genetics and immuno-oncology research: Supports analysis of regulatory variation and miRNA roles in immune signaling and cancer biology.
- Transcriptional process analysis: Facilitates investigation of miRNA transcription initiation within genomic and epigenomic studies.
Methodology:
PrimirTSS integrates ChIP-seq evidence (H3K4me3 and/or Pol II) with conservation scores and sequence-derived features to infer miRNA transcription start sites. By combining epigenetic markers of active promoters with evolutionary and sequence-based signals, the method provides a multi-evidence, context-aware framework for miRNA TSS prediction.
Topics
Details
- License:
- GPL-2.0
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 1/27/2021
Operations
Publications
Li P, Xu Q, Hua X, Xie Z, Li J, Wang J. primirTSS: an R package for identifying cell-specific microRNA transcription start sites. Bioinformatics. 2020;36(11):3605-3606. doi:10.1093/bioinformatics/btaa173. PMID:32170928.